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Less mystery. More experiments.

Three experiments to try at your own pace, with no timer. In a workshop, an educator guides these discoveries with your group.

Begin Try the 10⁠-⁠minute experience

Teaching simulations: no live AI. Progress stays on this device; no entered text is saved or sent.

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Which word comes next?

Several, each with its own probability: a language model assigns probabilities to upcoming tokens. Here, three words and illustrative weights make that mechanism visible.

Change the context and the temperature, then sample a word.

0.7

Temperature reshapes the probabilities. It measures neither truth nor intelligence.

Which word will come out?

Possible futures Illustrative probabilities

Your samples

A likely continuation is not evidence. The same machine can produce a fluent sentence and a convincing mistake. Try two contexts and two temperatures, then sample a word.

Does the source actually say that?

Not always. Read the fictional source document, then classify each claim in the summary. Missing information is not automatically false.

Fictional document

Meeting notes, Riverside Library

The team proposes a 90⁠-⁠minute workshop to explore AI. The room can hold 24 people. The date is yet to be confirmed. Free registration is being considered, but the budget has not yet been approved.

Your only source for this experiment.

Summary to check

Return to the source. Distinguish “supported”, “contradicted” and “not stated”. This is the reasoning we practise together in a workshop.

What makes an instruction useful?

A request someone can actually follow. Turn “tell me about AI” into one: build, compare and copy your instruction.

Add useful criteria
Use a fictional example. This text stays on the page.
What the request containsBefore

“Tell me about AI.”

Your instruction, assembled as you go

This page only assembles your instruction: no AI generates a response.

A precise instruction makes the result easier to evaluate. It does not guarantee accuracy. Choose your audience, task and at least two criteria to finish this experiment.

What happens inside?

The machine proposes. You decide.

Open the box: follow an answer’s journey, from your request to your decision.

Exploded view 1 of 4

What flows through
Explain AI to my team.

Your message

Explain AI to my team.

It starts with you. A question, a context, an intention.

The pieces

Explain · AI · to · my · team

Text becomes tokens: parts of words, words or symbols. The boundaries shown here are simplified.

The prediction

tool / system / technology

The model calculates possible continuations from context. A likely continuation can still be wrong.

Your judgment

Is it accurate? Useful? Suitable?

You compare against sources, identify limitations and decide what to use. Your judgment remains essential.

Teaching view: these layers represent stages, not a model’s physical architecture. Preset examples, no live AI.

Now imagine it in person.

With your team, on site. The questions come from your group, and our experienced teachers, led by an award-winning educator, answer them.

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